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Application of refined bacterial foraging algorithm technique to control of optimal power dispatch with interline power flow controller

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JOURNAL OF VIBRATION AND CONTROL 2014年第13期20卷 2042-2060页

作者： Jaganathan, Subramani Palaniswami, Senniappan Anna Univ Coimbatore Tamil Nadu India Govt Coll Engn Bodinayakkanur Tamil Nadu India

This paper presents a novel refined bacterial foraging algorithm (RBFA) to solve a multi-objective optimal power dispatch (MOOPD) problem incorporating multiline flexible AC transmission system (FACTS) devices in modern power systems and to seek optimal parameters of the same. This paper also deals with the concept of the interline power flow controller (IPFC) for providing better power flow management in a multiline transmission system. The optimal control parameters thus obtained are used to enhance the stability of the system and minimize transmission losses. The stability of modern power systems is improved by installing fast reacting devices such as IPFC together with the optimal parameters of IPFC. The optimal location of IPFC and solving optimal power dispatch (OPD) problems are required to employ the introduction of multi-objective based optimization techniques. This paper proposes a new algorithm based on the bacterial foraging algorithm (BFA) with a proposed multi-objective optimization technique. The proposed approach is tested with standard IEEE 30 bus system and comprehensive simulation results show better in constraint handling, finding optimal control parameters of IPFC, handling of voltage profile, minimize the transmission losses and quality of solution.

关键词： Control of optimal power dispatch control of voltage profile interline power flow controller multi-objective optimization refined bacterial foraging algorithm stability indices

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Control of voltage profile with optimal control and placement of distributed generation using the refined bacterial foraging algorithm

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JOURNAL OF VIBRATION AND CONTROL 2014年第13期20卷 2006-2018页

作者： Jaganathan, S. Palaniswami, S. Anna Univ Madras 600025 Tamil Nadu India Govt Coll Engn Sulur Coimbatore 641402 Tamil Nadu India

This paper proposes a refined bacterial foraging algorithm (RBFA) for solving the multi-objective based optimal power dispatch with optimal placement of distributed generation (DG) to minimize the total real power loss, generation cost, the environmental emission and considering various controls and limits. The RBFA is based on the social foraging behavior of the Escherichia coli bacteria and its improved version of the basic bacterial foraging algorithm. The RBFA provides natural selection to eliminate poor foraging strategies for bacteria and to propagate other successful foraging strategies where foraging is proceeded using a position updating process, step length, search dimension and search direction with adaptation of basic foraging principles. Initially, the algorithm randomly generates the particle positions representing the size and location of DG and its proposal to solve the simultaneous optimization of the multi-objective problem. The proposed RBFA is used to determine the optimal sizes and locations of multi-DGs;the different types of DG are considered and the load flow is used to calculate the exact loss and to minimize simultaneously the economic cost and the emission of thermal units by changing the location and varying the sizes of the DG units. The test results indicate that the RBFA method can obtain better results than similar social behavior algorithm method on the IEEE30-bus system. The results are compared with and without DG units. The proposed method found the optimal location and sizing of DG units with control of the voltage profile, control of the cost of generation and control and reduction of environmental pollution and transmission losses.

关键词： bacterial foraging algorithm control of voltage profile control of optimal power dispatch distributed generation load flow solution refined bacterial foraging algorithm stability indices

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