Effective resource allocation during natural disasters and response strategies are crucial to mitigate impacts and save lives. This paper presents a comprehensive mathematical model, which is designed to opt...
详细信息
Increased urbanization and climate change intensify urban heat islands and degrade air quality, making current mitigation strategies insufficient. Nature-based solutions (NBSs), such as parks, green walls, roofs, and ...
详细信息
This paper presents an efficient mixed-integer Nonlinearprogramming (MINLP) formulation for systems with discrete control inputs under dwell time constraints. By viewing such systems as a switched system, the problem...
详细信息
We tackle safe trajectory planning under Gaussian mixture model (GMM) uncertainty. Specifically, we use a GMM to model the multimodal behaviors of obstacles’ uncertain states. Then, we develop a mixed-integer conic a...
详细信息
We propose integer-programming formulations for an optimal safety-landing site (SLS) location problem that arises in the design of urban air-transportation networks. We first develop a set-cover based approach for the...
详细信息
In fields such as autonomous and safety-critical systems, online optimization plays a crucial role in control and decision-making processes, often requiring the integration of continuous and discrete variables. These ...
详细信息
We provide a framework for which one can approach showing the integer decomposition property for symmetric polytopes. We utilize this framework to prove a special case which we refer to as 2-partition maximal polytope...
详细信息
We present a vehicle routing problem with load capacity and time windows for a fleet of electric vehicles (EVs) and internal combustion vehicles (ICVs). Different charging technologies, including Level 1, 2, and 3 cha...
详细信息
We present a vehicle routing problem with load capacity and time windows for a fleet of electric vehicles (EVs) and internal combustion vehicles (ICVs). Different charging technologies, including Level 1, 2, and 3 chargers and swapping batteries, are considered in this research. Given the location of the depot, the existing customers, and the set of charging stations, this problem aims to minimise the overall cost of constructing the routes over the vertices that need to be visited by either an ICV or EV. We develop a mixed-integer linear programming (MILP) model for this problem, and we solve small samples using a CPLEX solver. In addition, we develop two metaheuristic solution approaches by combining Adaptive Large Neighbourhood Search (ALNS) with Simulated Annealing (SA) and Tabu Search (TS). Using a set of locations from Scarborough, Ontario, Canada, we investigate the delivery routing problem with a fleet of ICVs and EVs. By solving the problem for different scenarios, we observed that EVs often require partial recharging and faster chargers (Level 3) when traveling in the city.
The railway power conditioner (RPC) is a promising technology to improve the regenerative braking energy (RBE) utilization and power quality of the traction power supply system (TPSS). The hybrid energy storage system...
详细信息
The railway power conditioner (RPC) is a promising technology to improve the regenerative braking energy (RBE) utilization and power quality of the traction power supply system (TPSS). The hybrid energy storage systems (HESS) play a key role in the economic operation of TPSS due to the high cost of the system. The capacity and power of HESS are the critical issues affecting the system performance and cost. Therefore, a hierarchical energy management model is proposed to optimize the HESS sizing and the scheduling of TPSS with RPC. At the master level, a nonlinear mathematical model is built to minimize the HESS cost, which includes capital cost, replacement cost, and recovery cost. At the slave level, considering voltage unbalance as a constraint, a mixed-integer linear programming model is established to minimize the electricity cost of railway operation. In order to solve the hierarchical nonlinearprogramming problem, an improved particle Swarm optimization (PSO) algorithm with a GUROBI solver embedded is proposed. Finally, the results show that the 14.08% cost reduction is achieved, and the standard limit value of voltage unbalance is satisfied.
Chinese electricity market reform poses huge challenges to hydropower operations and electricity trading. This study proposes a scheduling method coupling priority electricity and day-ahead trading for large hydropowe...
详细信息
Chinese electricity market reform poses huge challenges to hydropower operations and electricity trading. This study proposes a scheduling method coupling priority electricity and day-ahead trading for large hydropower plants. The study focuses on complex factors such as tariff uncertainty, different types of electricity settlement rules, and inter-provincial electricity transmission links. Spot market tariff scenarios are determined through the Latin hypercube and the K-means methods. A performance formulation of priority electricity deviation considering settlement assessment rules is established. A transmission description for different sub-plants and a triangular linear interpolation method based on binary independent branching mode are proposed to solve inter-regional transmission connections and hydraulic coupling in cascaded hydropower plants, respectively. Finally, the Big M method is employed to equivalently transform the complex non-linear problem into a mixed-integer linear programming (MILP) model. The method is verified with the day-ahead operation of four large hydropower plants downstream of the Jinsha River in China as a case study. Settlement assessment rules, inter-regional power transmission, and price uncertainty are analyzed in three different cases. Three conclusions are obtained: 1) the priority electricity performance rate and the price are positively correlated, which is useful to guide hydropower plants to actively participate in the market. 2) Introducing the prediction error of electricity price in the model can help avoid market decision risk and improve the expected return by approximately 1.2%. 3) Considering the settlement penalty rule is helpful for power generation enterprises to improve power allocation and thus seek higher revenue compared to traditional methods without considering it.
暂无评论