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Solution to security constrained lossy economic power dispatch problem for a power system area including limited energy supply thermal units using modified subgradient algorithm based on feasible values

机译:使用基于可行值的改进次梯度算法,解决有限供热单元的电力系统区域安全受限的有损经济电力调度问题

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摘要

In this paper, a security constrained power dispatch problem for a lossy electric power system area including limited energy supply thermal units is modeled in such a way that the modified subgradient algorithm based on feasible values (F-MSG algorithm) can be used to solve it. This model considers bus voltage magnitudes and phase angles, off-nominal tap ratios (once there are off-nominal tap changing transformers in the power system) as independent variables. Load flow equations are added to the model as equality constraints. Power system transmission loss is inserted into the optimization model via those load flow equations. Unit generation constraints, transmission line capacity constraints, bus voltage magnitude constraints, off-nominal tap ratio constraints are added into the optimization problem as inequality constraints. We assume that limited energy supply thermal units are fueled under take-or-pay agreement. The F-MSG algorithm is tested on a fifteen-bus test system. The dispatch problem was also solved by other dispatch techniques that use pseudo spot price algorithm and genetic algorithm. Results obtained from the F-MSG algorithm and the other techniques are compared.
机译:本文针对具有有限能量供应热单元的有损电力系统区域的安全约束功率分配问题进行建模,以便可以使用基于可行值的改进次梯度算法(F-MSG算法)来解决该问题。 。该模型将母线电压幅度和相角,标称失调比(一旦电力系统中存在标称失调变压变压器)视为独立变量。潮流方程作为等式约束添加到模型中。电力系统的传输损耗通过那些潮流方程被插入到优化模型中。单元生成约束,传输线容量约束,总线电压幅度约束,标称抽头比率约束作为不等式约束添加到优化问题中。我们假设有限的能源供热单位是根据付款或付款协议提供燃料的。 F-MSG算法在15总线测试系统上进行了测试。通过使用伪现货价格算法和遗传算法的其他调度技术也解决了调度问题。比较了从F-MSG算法和其他技术获得的结果。

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